Originally Posted by pudendum
I’ve been thinking about this a lot since I first read this. I think that Sparkyx is on to a very important point here. In fact, I think this concept might be so important as to take us further down the road towards the Holy Grail of PE: why and how do we grow.Yes Sparkyx, wall tension is everything. As I noted in the thread on the connective tissue mechanisms of connective tissue remodeling (Possible reason for PE induced growth), tension is the most important stimulus. The question we all ask is: what type of tension and how intense?
Tension is tension, no matter the cause. But how this tension is generated and when is important.
There is a very important and simple principle known as LaPlaces’s Law that describe wall tension (which tunica stretch is).
OH NO, not another scientific explanation!! Please bear with me, this is actually simple and important. I’ll make it simple.
If you have a tube (like the cavernosa) with a radius, r, with a wall (like the tunica) with a thickness, M, with an internal pressure, P, then you can describe the tension on the wall (the tunica), T, by the following equation:
T = P * r/M. [Tension on the tunica = (radius of the cavernosa X cavernosa pressure)/tunica thickness]
Let’s assume that tunica thickness does not change, so M is constant (it may not be but for giggles and grins, let’s assume it is). Therefore, tension increases by increased pressure, radius or both.
Unfortunately, tunica thickness is not constant but decreases with increasing radius. Thus, like in our previous discussion compliance was, now tunica thickness is a dynamic variable.
As the pressure increases, the tunica thickness decreases; the net effect on wall stress is that the pressure effect on wall stress is weakened.
This would again favour low pressure, low tension scenarios because at high pressure negative PI’s and injuries become exponentially (an estimate, from experience - blisters, frenulum tear, edema, discoloration, you name it) more likely while the net effect on wall tension is less than linear.